for j in range(len(List_Abundances)):
abundance = List_Abundances[j]
Empty_Array[j+1] = pv.GetParameter_ObjLog(CodeName, FileFolder, Parameter = abundance, Assumption = 'float')
#If the abundance was measure store it
if Empty_Array[j+1] == None:
All_observed = False
if All_observed:
Valid_objects.append(array(Empty_Array, copy=True))
return array(Valid_objects)
pv = myPickle()
dz = Plot_Conf()
ct = Cloudy_Tools()
diags = pn.Diagnostics()
#Define data type and location
Catalogue_Dic = DataToTreat()
Pattern = Catalogue_Dic['Datatype'] + '.fits'
#Define figure format
dz.FigConf(n_colors=3)
print 'Colors initial'
print dz.ColorVector[2], len(dz.ColorVector[2])
#Define script name and location
# ScriptFolder = '/home/vital/Dropbox/Astrophysics/Tools/Cloudy/S_Ar_test/Few_Models/'
ScriptFolder = '/home/vital/Dropbox/Astrophysics/Tools/Cloudy/S_Ar_test/Ionization_Models/'
